{"id":"https://openalex.org/W2980189697","doi":"https://doi.org/10.1109/tifs.2019.2946476","title":"Privacy-Preserving Object Detection for Medical Images With Faster R-CNN","display_name":"Privacy-Preserving Object Detection for Medical Images With Faster R-CNN","publication_year":2019,"publication_date":"2019-10-10","ids":{"openalex":"https://openalex.org/W2980189697","doi":"https://doi.org/10.1109/tifs.2019.2946476","mag":"2980189697"},"language":"en","primary_location":{"id":"doi:10.1109/tifs.2019.2946476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2019.2946476","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Forensics and Security","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100355950","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0002-6276-1468"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yang Liu","raw_affiliation_strings":["School of Cyber Engineering, Xidian University, Xi\u2019an, China","School of Cyber Engineering, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Cyber Engineering, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Cyber Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015787649","display_name":"Zhuo Ma","orcid":"https://orcid.org/0000-0001-6023-2864"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuo Ma","raw_affiliation_strings":["School of Cyber Engineering, Xidian University, Xi\u2019an, China","School of Cyber Engineering, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Cyber Engineering, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Cyber Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058120371","display_name":"Ximeng Liu","orcid":"https://orcid.org/0000-0002-4238-3295"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ximeng Liu","raw_affiliation_strings":["College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016972157","display_name":"Siqi Ma","orcid":"https://orcid.org/0000-0003-3479-5713"},"institutions":[{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"funder","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Siqi Ma","raw_affiliation_strings":["Data 61, CSIRO\u2014Marsfield Site, Marsfield, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Data 61, CSIRO\u2014Marsfield Site, Marsfield, NSW, Australia","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I1292875679"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105297718","display_name":"Kui Ren","orcid":"https://orcid.org/0000-0002-1969-2591"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kui Ren","raw_affiliation_strings":["Institute of Cyberspace Research, Zhejiang University, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Institute of Cyberspace Research, Zhejiang University, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100355950"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":4.0871,"has_fulltext":false,"cited_by_count":112,"citation_normalized_percentile":{"value":0.95252549,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"17","issue":null,"first_page":"69","last_page":"84"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9894999861717224,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8686705827713013},{"id":"https://openalex.org/keywords/exponentiation","display_name":"Exponentiation","score":0.7991822957992554},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5403140187263489},{"id":"https://openalex.org/keywords/logarithm","display_name":"Logarithm","score":0.4760948419570923},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4738488793373108},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4578160345554352},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4525352120399475},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40057164430618286},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.29708147048950195}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8686705827713013},{"id":"https://openalex.org/C81539297","wikidata":"https://www.wikidata.org/wiki/Q33456","display_name":"Exponentiation","level":2,"score":0.7991822957992554},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5403140187263489},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.4760948419570923},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4738488793373108},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4578160345554352},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4525352120399475},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40057164430618286},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.29708147048950195},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tifs.2019.2946476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2019.2946476","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Forensics and Security","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1033608059","display_name":null,"funder_award_id":"U1764263","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3291271152","display_name":null,"funder_award_id":"U1804263","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3763360118","display_name":null,"funder_award_id":"61872283","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8564054440","display_name":null,"funder_award_id":"61702105","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320325408","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1485800369","https://openalex.org/W1524288918","https://openalex.org/W1568503047","https://openalex.org/W2003668524","https://openalex.org/W2063724771","https://openalex.org/W2108598243","https://openalex.org/W2115452265","https://openalex.org/W2123096872","https://openalex.org/W2130901615","https://openalex.org/W2154369553","https://openalex.org/W2405356014","https://openalex.org/W2412782625","https://openalex.org/W2416799949","https://openalex.org/W2473418344","https://openalex.org/W2508384486","https://openalex.org/W2531829766","https://openalex.org/W2580334333","https://openalex.org/W2582740551","https://openalex.org/W2588767905","https://openalex.org/W2592929672","https://openalex.org/W2626997132","https://openalex.org/W2777186991","https://openalex.org/W2791368556","https://openalex.org/W2801363460","https://openalex.org/W2806609611","https://openalex.org/W2807140035","https://openalex.org/W2892284287","https://openalex.org/W2893552484","https://openalex.org/W2901277380","https://openalex.org/W2901742630","https://openalex.org/W2910093290","https://openalex.org/W2911667635","https://openalex.org/W2922482186","https://openalex.org/W2940691483","https://openalex.org/W2963712920","https://openalex.org/W2964095005","https://openalex.org/W6637373629","https://openalex.org/W6758586992"],"related_works":["https://openalex.org/W1821857592","https://openalex.org/W2057474768","https://openalex.org/W3082721911","https://openalex.org/W4213010969","https://openalex.org/W3103765022","https://openalex.org/W2119606669","https://openalex.org/W2094893810","https://openalex.org/W4298965518","https://openalex.org/W4300883263","https://openalex.org/W3022633161"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,56,87],"propose":[4],"a":[5,58],"lightweight":[6],"privacy-preserving":[7,39],"Faster":[8,18,42,69],"R-CNN":[9,19,43],"framework":[10],"(SecRCNN)":[11],"for":[12,29],"object":[13,30],"detection":[14],"in":[15,95,152],"medical":[16],"images.":[17],"is":[20],"one":[21],"of":[22,41,60,68,85,111,133],"the":[23,45,65,83,89,109,115,121,128,149],"most":[24],"outstanding":[25],"deep":[26],"learning":[27],"models":[28],"detection.":[31],"Using":[32],"SecRCNN,":[33,55,86,96],"healthcare":[34],"centers":[35],"can":[36,106],"efficiently":[37],"complete":[38],"computations":[40],"via":[44],"additive":[46],"secret":[47],"sharing":[48],"technique":[49],"and":[50,77,79,100,131,141,156,162],"edge":[51],"computing.":[52],"To":[53,81],"implement":[54],"design":[57],"series":[59],"interactive":[61],"protocols":[62],"to":[63,159],"perform":[64],"three":[66],"stages":[67],"R-CNN,":[70],"namely":[71],"feature":[72],"map":[73],"extraction,":[74],"region":[75],"proposal":[76],"regression":[78],"classification.":[80],"improve":[82,88],"efficiency":[84,130],"existing":[90],"secure":[91],"computation":[92],"sub-protocols":[93,105],"involved":[94],"including":[97],"division,":[98,154],"exponentiation":[99,157],"logarithm.":[101],"The":[102,144],"newly":[103],"proposed":[104],"dramatically":[107],"reduce":[108],"number":[110],"messages":[112],"exchanged":[113],"during":[114],"iterative":[116],"approximation":[117],"process":[118],"based":[119],"on":[120],"coordinate":[122],"rotation":[123],"digital":[124],"computer":[125],"algorithm.":[126],"Moreover,":[127],"effectiveness,":[129],"security":[132],"SecRCNN":[134],"are":[135],"demonstrated":[136],"through":[137],"comprehensive":[138],"theoretical":[139],"analysis":[140],"extensive":[142],"experiments.":[143],"experimental":[145],"findings":[146],"show":[147],"that":[148],"communication":[150],"overhead":[151],"computing":[153],"logarithm":[155],"decreases":[158],"36.19%,":[160],"73.82%":[161],"43.37%,":[163],"respectively.":[164]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":29},{"year":2023,"cited_by_count":25},{"year":2022,"cited_by_count":21},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
